# wenzhu23333/Federated-Learning

<https://repo.masters-masters.com/en/repos/wenzhu23333/Federated-Learning>

[Home](https://repo.masters-masters.com/en) › [wenzhu23333](https://repo.masters-masters.com/en/owners/wenzhu23333) › [Federated-Learning](https://repo.masters-masters.com/en/repos/wenzhu23333/Federated-Learning)

wenzhu23333/Federated-Learning has 132 stars on GitHub. Its RepoMasters card: Prototype tier. An open source FL implement with dataset(Femnist, Shakespeare…

| Field | Value |
| --- | --- |
| Owner | [wenzhu23333](https://repo.masters-masters.com/en/owners/wenzhu23333) |
| Stars | 132 |
| Forks | 31 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | GPL-3.0 |
| Created | 2021 |
| Topics | pytorch, federated-learning, deep-learning, lstm, cnn |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [wenzhu23333/Federated-Learning](https://github.com/wenzhu23333/Federated-Learning) |

## Repository

An open source FL implement with dataset(Femnist, Shakespeare, MNIST, Cifar-10 and Fashion-Mnist) using pytorch

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.
